Publications

1450 results for Machine Learning

Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- - Giangiacomo Mercatali
  - Andre Freitas
  - et al.
- 2024
- NeurIPS 2024
Weak Supervision Performance Evaluation via Partial Identification
- - Felipe Maia Polo
  - Subha Maity
  - et al.
- 2024
- NeurIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- - Wenzhi Fang
  - Dong-jun Han
  - et al.
- 2024
- NeurIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- - Quoc Tran-Dinh
  - Trang H. Tran
  - et al.
- 2024
- NeurIPS 2024
Probabilistic Federated Prompt-Tuning in Data Imbalance Settings
- - Pei-yau Weng
  - Minh Hoang
  - et al.
- 2024
- NeurIPS 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
- - Yue Yu
  - Ning Liu
  - et al.
- 2024
- NeurIPS 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- - Tomoya Sakai
  - Haoxiang Qiu
  - et al.
- 2024
- NeurIPS 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- - Hao-lun Sun
  - Lei Hsiung
  - et al.
- 2024
- NeurIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- - Yunshi Wen
  - Tengfei Ma
  - et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- - Zhaoxian Wu
  - Tayfun Gokmen
  - et al.
- 2024
- NeurIPS 2024